Mathematical Modelling Designed for Monitoring Traceability and Quality Statistical Control in Romanian SMEs

Abstract

Abstract The paper presents a confirmed case of a factory in the west of the country, where the stochastic modeling generated by the software was implemented into SAP. This project was born out of necessity. Thus, to keep the processes under control and contribute to their improvement, they must be monitored, measured and analyzed regularly. As long as the main process indicators are monitored, the need to take corrective or improvement actions (whether reorganization or additional investment is needed) can be detected in time so that the company’s performance does not decrease to the level where the customer is no longer satisfied of the quality of the delivered products or too high non-quality costs appear that will no longer allow the achievement of the established objectives (Besterfield, D. H. et al., 2011). The program is presented in detail, starting with the introduction of collected data, the processing and generation of indicator graphs. The indicators have high accuracy and greatly help in making decisions. Finally, an improvement in production can be observed following the use of this software (Bourne, M., & Bourne, P., 2012). The purpose of our study is to create a stochastic mathematical model. Starting from a specific condition in SMEs from Romania, this study presents possibilities of innovation in operational structures specialized in quality monitoring, traceability and statistical control based on integrated modules in general software. The innovation process is based on data collected and monitored in real-time from the manufacturing process in conditions where the system ensures quality compliance at all stages of production. Through its modern functionalities, blockages are eliminated, waste of time is avoided, materials and money are saved, and it strengthens the business partnerships and the company’s position in the market. Results regarding particular implementations are preserved. Data is collected and monitored in real-time and the system ensures quality compliance at all stages of production.